School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, 100871, China.
Sci China Life Sci. 2021 Jun;64(6):897-910. doi: 10.1007/s11427-020-1833-8. Epub 2020 Nov 23.
One of the hallmarks of human society is the ubiquitous interactions among individuals. Indeed, a significant portion of human daily routine decision making is socially related. Normative economic theory, namely game theory, has prescribed the canonical decision strategy when "rational" social agents have full information about the decision environment. In reality, however, social decision is often influenced by the trait and state parameters of selves and others. Therefore, understanding the cognitive and neural processes of inferring the decision parameters is pivotal for social decision making. Recently, both correlational and causal non-invasive neuroimaging studies have started to reveal the critical neural computations underlying social learning and decision-making, and highlighted the unique roles of "social" brain structures such as temporal-parietal junction (TPJ) and dorsomedial prefrontal cortex (dmPFC). Here we review recent advances in social decision neuroscience and maintain the focus on how the inference about others is dynamically acquired during social learning, as well as how the prosocial (altruistic) behavior results from orchestrated interactions of different brain regions specified under the social utility framework. We conclude by emphasizing the importance of combining computational decision theory with the identification of neural mechanisms that represent, evaluate and integrate value related social information and generate decision variables guiding behavioral output in the complex social environment.
人类社会的一个特点是个体之间无处不在的相互作用。事实上,人类日常生活决策的很大一部分与社会有关。规范的经济理论,即博弈论,规定了当“理性”社会代理人对决策环境有充分了解时的典型决策策略。然而,在现实中,社会决策往往受到自身和他人特征和状态参数的影响。因此,了解推断决策参数的认知和神经过程对于社会决策至关重要。最近,相关和因果的非侵入性神经影像学研究开始揭示社会学习和决策的关键神经计算,并强调了颞顶联合区 (TPJ) 和背内侧前额叶皮层 (dmPFC) 等“社会”大脑结构的独特作用。在这里,我们回顾了社会决策神经科学的最新进展,并将重点放在社会学习过程中如何动态地推断他人,以及亲社会(利他主义)行为如何在社会效用框架下协调不同大脑区域的相互作用产生决策变量,从而指导复杂社会环境中的行为输出。最后,我们强调了将计算决策理论与识别代表、评估和整合与价值相关的社会信息并生成指导行为输出的决策变量的神经机制相结合的重要性。